We regularly partner with innovative companies in the Telematics, Fleet Management, and Data Solutions spaces organisations that are building smarter, faster, and more connected systems powered by data. If you thrive on designing scalable pipelines, optimizing performance, and solving data challenges that drive real business decisions, we want to hear from you. We are especially interested in talent with experience in: SQL, Python, and data modelling Azure, Synapse, or Databricks environments Power BI or other BI tools Building and maintaining data warehouses or ETL pipelines Working with telemetry, IoT, or GIS data (bonus!) Whether youre ready for a new opportunity right now or just open to hearing whats out there, lets start the conversation. Apply Now! For more information contact: Raees Sadek IT Recruitment Researcher

Key Responsibilities: Operational Excellence Deliver high-quality work that complies with predefined standards, governance, and compliance requirements. Follow established processes to ensure operational efficiency and consistency. Complete all administrative, reporting, and documentation tasks accurately and on time. Data Management & Solution Delivery Support data movement, integration, and provisioning activities. Participate in solution design and assist in the implementation of data architecture and frameworks. Build, test, and deploy data components and automation scripts. Execute remediation and system update activities as required. Develop and run unit and system tests to ensure successful production delivery. Technology & Innovation Research emerging technologies and recommend cost-effective, flexible solutions. Assist with automated deployments and task scheduling frameworks. Support the maintenance and enhancement of the data analytics platform. Provide infrastructure or big data support to data operations and analytics teams. Collaboration & Continuous Improvement Work closely with senior engineers to design and present technical solutions. Learn from subject matter experts and contribute to internal knowledge platforms and best practices. Identify opportunities for self-improvement and performance enhancement. Promote teamwork, collaboration, and inclusivity within the team. Job Experience and Skills Required: Education: Bachelors degree (BSc or BCom) in a relevant field (e.g., Data Science, Information Systems, Computer Science, or related discipline). Experience: 23 years of experience in Data Analytics or a related technical role. Experience with Ab Initio or similar data integration tools is beneficial. Apply now!

Job & Company Description: Im looking for Data Engineers with solid hands-on experience designing and building scalable data solutions. You will work with clients in Financial Services, Telecommunications, Technology, and Consulting, contributing to the development of enterprise data architectures and engineering best practices. You will play a key role in designing robust pipelines, implementing ETL/ELT solutions, managing data quality, and supporting cloud-driven data initiatives. Key Responsibilities: Design and maintain ETL/ELT pipelines and scalable data ingestion solutions. Build and optimize data warehouses, data lakes, and lakehouse environments. Develop batch and real-time data processing solutions. Implement data integration solutions (ADF, SSIS, Talend, Informatica, AWS Glue). Develop CI/CD pipelines for data workflows. Collaborate with BI, Cloud, Analytics, and Development teams. Job Experience and Skills Required: Education: Degree/Diploma in Computer Science, Data Engineering, IT, Software Engineering, or similar. Certifications such as Azure/AWS/GCP Data Engineer certifications or Databricks, Snowflake, or Hadoop certifications Experience: Minimum 3 years’ experience as a Data Engineer Strong experience with data pipelines and cloud-based solutions Advanced SQL & data modelling ETL/ELT experience (ADF, SSIS, Informatica, Talend, Glue, Databricks) Cloud experience (Azure, AWS, or GCP) Big data tools: Spark, Hadoop, Kafka Python or Scala for data engineering Data warehouses/lakes (Snowflake, Synapse, Redshift, BigQuery) CI/CD & version control (Git, Azure DevOps, Jenkins) Nice to Have: Streaming technologies (Kafka, Kinesis, EventHub) Lakehouse architectures (Delta Lake, Databricks) Exposure to ML data pipelines Apply now!

PBT Group is seeking an experienced Data Engineer to join our client’s dynamic data team. The successful candidate will work closely with senior stakeholders to design, develop, and maintain robust data pipelines and cloud-based solutions. This role requires a strong understanding of data engineering principles , data lake management , and cloud technologies (preferably GCP , but Azure or AWS experience will also be considered). Key Skills & Experience 4–8 years’ experience in Data Engineering . Strong SQL skills and experience with data pipeline development . Hands-on experience with GCP (BigQuery, Dataplex) or equivalent cloud platforms ( Azure / AWS ). Experience managing Data Lakes , messaging queues , and pub/sub models . Proven ability to optimise, maintain, and scale cloud-based data environments. Strong analytical and problem-solving skills. Advantageous Exposure to data orchestration tools and real-time data streaming . Experience with ETL design and data modelling best practices. Familiarity with Python or other scripting languages. Additional Information The role can be based in either Cape Town or Johannesburg . Candidates with strong Azure experience are encouraged to apply — skills are easily transferable to GCP. Immediate availability will be advantageous.